Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs

Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.

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The Future of AI: Machine Learning and Knowledge Graphs

Using knowledge graphs and AI together can improve the accuracy of the outcomes and augment the potential of machine learning approaches.

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Graph Embeddings: AI That Learns from Your Data to Solve Problems

Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.

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Graph Data Science: The Secret to Accelerating Innovation with AI/ML

Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.

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Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS

A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.

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Use Graphs for Smarter AI with Neo4j and Google Cloud Vertex AI

Learn how to use Neo4j AuraDB along with Google Cloud Vertex AI to build and deploy graph-based machine learning models.

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The Top 5 Neo4j Webinars of 2021

While we can look back and say that 2021 was a year of disruption, the same rings true for the world of tech, especially in the graph space. I’m constantly amazed by how connected our world is becoming and can… Read more →

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From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs

Discover the two general categories of knowledge graphs: actioning for data management and decisioning for data analytics.

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You Don’t Need a Crystal Ball When You Have Graph Data Science

Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain… Read more →

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Apache Spark for Neo4j AuraDB

Check out some of the important changes and new functionality in the Neo4j Connector for Apache Spark version 4.1.

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#GraphCast: Why You Should Be Thinking About Bias in AI

Check out this video on algorithmic bias in AI, plus my take on why tracking data lineage in a knowledge graph is part of the solution.

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This Week in Neo4j – Twitch, Stackoverflow, Masterclass, Workshop

Hello, everyone! ? Is it just me or is this month getting spookier and spookier by the day? I’m sure it’s just me, but it still doesn’t feel like I’m the only one who’s been spooked this month. At least… Read more →

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This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB

Hello, everyone! As we begin a new quarter – and enter the spookiest month of the year – Twin4j brings you both tricks and treats from the past week in the world of Neo4j. In this issue, we will see… Read more →

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This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data

Hello, everyone! In this issue, we’re featuring Alexios Pantavos, a developer who has worked tirelessly to help other Neo4j Community members. The folks at Graphlytic published a video tutorial that shows you how to define rules for mapping styles with… Read more →

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What’s New with Graph Data Science: GDS 1.7 Release

At this point, we’re all back from our summer holidays – whether we want to be or not. One consolation prize, though, is that the team at Neo4j spent our summer putting together another fabulous update to the Graph Data… Read more →

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Knowledge Graphs: Data in Context for Responsive Businesses [New Book]

We are thrilled to announce the availability of the O’Reilly: Knowledge Graphs: Data in Context for Responsive Businesses book!

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This Week in Neo4j – GraphQL Library V2, AuraDB Free Demo, Power BI, MLOps, the Louvre, and Discourse Versus Discord

Hello, everyone! Here we are already in mid-August and the summer is quickly winding down. But the community is still hard at work and doing some great things with graphs! There was some big news within the Neo4j community this… Read more →

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This Week in Neo4j – Data Journalism NYPD, Django Admin, Visualization Talks, CEO Podcast, Write Performance, Java GraphQL

Hello, everyone! Time really flies! It felt like only yesterday I was putting together last week’s twin4j. I encourage you to share both the newsletter and blog with colleagues and friends who may also find it helpful. You can point… Read more →

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Neo4j Raises the Largest Funding Round in Database History

Check out Neo4j CEO and Co-Founder Emil Eifrem’s thoughts on raising the largest funding round in database history.

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This Week in Neo4j – Graph Embeddings, Confluent with AuraDB, Intro Video, Liquibase, Data Stack Show

Hello, everyone! Don’t miss our free hands-on training sessions (around two hours each day) from June 7 – 11. All folks who register for NODES can attend these sessions (scroll down for details). In this week’s episode, we thank Alberto… Read more →

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Neo4j Graph Data Science Library 1.6: Fastest Path to Production

Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.

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